The Researches of the Image Segmentation Algorithm Based on Contourlet Transformation

摘要：

The image Segmentation is resulted, by Wavelet Domain Hidden Markov Tree model, dim edge components prone and diffuse singularity. The Contourlet transformation can capture the singularity in the image of high dimension, therefore, the paper presents a new algorithm of multiscale image segmentation based on the Contourlet transform. This algorithm was initially segmented in scales by Contourlet domain Hidden Markov Tree Model, and integrated among multiscales after segmentting images through the adaptive context structures. Compared simulating segmentation experiment of synthetic texture image and aerial image to Wavelet Domain Hidden Markov Tree Model image segmentation method, we obtain more desirable segmentation effect with the regional consistency and edge accuracy, and the composed images with lower misclassification rate.

作者: Xiao Yihan Xi Zhihong Hai Tao Guo Liang

作者单位: Information and Communication Engineering College, Harbin Engineering University, Harbin 150001, Chi Information and Communication Engineering College, Harbin Engineering University, Harbin 150001, Ch

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-5

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）